Deciphering seizure semiology in corpus callosum injuries: A comprehensive systematic review with machine learning insights.

Journal: Clinical neurology and neurosurgery
PMID: 38762973

Abstract

INTRODUCTION: Seizure disorders have often been found to be associated with corpus callosum injuries, but in most cases, they remain undiagnosed. Understanding the clinical, electrographic, and neuroradiological alternations can be crucial in delineating this entity.

Authors

  • Ritwick Mondal
    Department of Clinical Pharmacology and Therapeutic Medicine, Institute of Post Graduate Medical Education and Research, SSKM Hospital, Kolkata, India.
  • Shramana Deb
    S.N. Pradhan Centre for Neuroscience, University of Calcutta, Kolkata, India.
  • Gourav Shome
    Department of Biological Sciences, Bose Institute, Kolkata, India.
  • Anjan Chowdhury
    Centre for Soft computing and Research, Indian Statistical Institute, Kolkata, India.
  • Kuntal Ghosh
    Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India kuntal@isical.ac.in.
  • Julián Benito-León
    Department of Neurology, University Hospital "12 de Octubre", Madrid, Spain.
  • Durjoy Lahiri
    Department of Cognitive Neurology, Institute of Neuroscience, Kolkata, India. Electronic address: dlahiri1988@gmail.com.

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